CN110704429A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN110704429A CN110704429A CN201910868080.5A CN201910868080A CN110704429A CN 110704429 A CN110704429 A CN 110704429A CN 201910868080 A CN201910868080 A CN 201910868080A CN 110704429 A CN110704429 A CN 110704429A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0248—Filters characterised by a particular frequency response or filtering method
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0248—Filters characterised by a particular frequency response or filtering method
- H03H17/026—Averaging filters
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H2017/0072—Theoretical filter design
- H03H2017/009—Theoretical filter design of IIR filters
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- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention belongs to the technical field of avionics, and particularly relates to a data processing method and device. The method comprises the following steps: collecting data at a predetermined rate; filtering the acquired data to obtain low-noise data; caching the low-noise data in a data cache region to obtain cached data; judging whether the amplitude of the cache data meets a specific condition or not; continuously collecting data at a rate higher than a predetermined rate for a predetermined time under the condition that the amplitude of the buffered data satisfies a specific condition; and continuously judging whether the amplitude of the buffered data meets a specific condition or not after a preset time.
Description
Technical Field
The invention belongs to the technical field of avionics, and particularly relates to a data processing method and device.
Background
Because the memory capacity of the recorder is limited, in order to ensure that the recording time length is not interfered by noise, a high-speed data filtering processing method is provided.
Disclosure of Invention
The purpose of the invention is as follows: a high-speed data filtering method is provided to filter interference noise and ensure the recording duration of a recorder.
The technical scheme of the invention is as follows:
in a first aspect, a data processing method is provided, including:
collecting data at a predetermined rate;
filtering the acquired data to obtain low-noise data;
caching the low-noise data in a data cache region to obtain cached data;
judging whether the amplitude of the cache data meets a specific condition or not;
continuously collecting data at a rate higher than a predetermined rate for a predetermined time under the condition that the amplitude of the buffered data satisfies a specific condition;
and continuously judging whether the amplitude of the buffered data meets a specific condition or not after a preset time.
Optionally, the filtering specifically includes: 16-point averaging filtering and impulse response filtering.
Optionally, the determining whether the amplitude of the cached data meets a specific condition specifically includes:
and judging whether the difference value of the maximum amplitude and the minimum amplitude of the buffered data is larger than a preset threshold value.
Optionally, the predetermined time is 2 seconds.
Optionally, the method further comprises: in the case where the amplitude of the buffered data does not satisfy the specific condition, the low-noise data is stored in the second storage area.
Alternatively, after data is continuously collected for a predetermined time at a rate higher than the predetermined rate, the data collected for the predetermined time is stored in the first storage area.
In a second aspect, there is provided a data processing apparatus comprising:
the acquisition module is used for acquiring data at a preset rate;
the filtering module is used for filtering the acquired data to obtain low-noise data;
the storage module is used for caching the low-noise data in a data cache region to obtain cached data;
the judgment processing module is used for judging whether the amplitude of the cache data meets a specific condition or not; continuously collecting data at a rate higher than a predetermined rate for a predetermined time under the condition that the amplitude of the buffered data satisfies a specific condition; and continuing to determine whether the amplitude of the buffered data satisfies a particular condition after a predetermined time.
Optionally, the filtering module is specifically configured to perform 16-point average filtering and impulse response filtering on the acquired data to obtain low-noise data.
Optionally, the judgment processing module is specifically configured to judge whether a difference between a maximum amplitude and a minimum amplitude of the buffered data is greater than a predetermined threshold.
Optionally, the storage module is further configured to:
storing the low-noise data in a second storage area under the condition that the amplitude of the cache data does not meet a specific condition; and storing data acquired within a predetermined time into the first storage area after continuously acquiring data at a rate higher than the predetermined rate for the predetermined time.
The invention has the beneficial effects that: the method filters interference noise by filtering the data acquired at high speed, and ensures the recording duration of the recorder. The invention can be applied to occasions with limited recording capacity and needing to record high-frequency signals such as vibration and the like, can filter the interference of the high-frequency signals in the signal acquisition process, and can ensure the recording duration and the recorded data integrity of the recorder.
Drawings
FIG. 1 is a functional block diagram of an implementation of an embodiment of the present invention.
Detailed Description
The invention adopts a digital filtering method, selects IIR and multipoint moving average filtering combined filtering method to filter noise interference, after the noise interference is filtered, the starting and stopping condition judgment is carried out on the data collected at high speed, if the data starting high speed collecting condition is met, the high speed collection is carried out, after a period of continuous recording, the starting judgment of the collected data is carried out.
The present invention will be described in further detail below with reference to specific embodiments, with reference to fig. 1. The concrete implementation is as follows: the method comprises the steps of processing acquired data through 16-point average filtering and impulse response filtering, caching the processed data into a data cache region, judging starting and stopping conditions of the data in the cache region, sending the acquired data into the data acquisition region according to a normal acquisition mode if the data do not enter a high-speed acquisition mode, directly recording the acquired data for 2s according to a sampling rate of 512 without processing acquired signals if the data enter the high-speed acquisition mode, and judging the filtering processing and the starting and stopping conditions after the data enter the high-speed acquisition mode again after the data enter the high-speed acquisition mode.
And selecting a proper order for the impact response filter according to the embedded resources, calculating the filter coefficient by using a scientific calculation tool Matlab, and transplanting the filter coefficient to an embedded system.
Claims (10)
1. A data processing method, comprising:
collecting data at a predetermined rate;
filtering the acquired data to obtain low-noise data;
caching the low-noise data in a data cache region to obtain cached data;
judging whether the amplitude of the cache data meets a specific condition or not;
in the case where the amplitude of the buffered data satisfies a certain condition, data is continuously collected at a rate higher than a predetermined rate for a predetermined time.
2. The method according to claim 1, wherein the filtering specifically comprises: 16-point averaging filtering and impulse response filtering.
3. The method of claim 1, wherein determining whether the amplitude of the buffered data satisfies a particular condition comprises:
and judging whether the difference value of the maximum amplitude and the minimum amplitude of the buffered data is larger than a preset threshold value.
4. The method of claim 1, wherein the predetermined time is 2 seconds.
5. The method of claim 1, further comprising: in the case where the amplitude of the buffered data does not satisfy the specific condition, the low-noise data is stored in the second storage area.
6. The method of claim 1, wherein the data collected for a predetermined time is stored in the first storage area after continuously collecting the data for the predetermined time at a rate higher than the predetermined rate.
7. A data processing apparatus, comprising:
the acquisition module is used for acquiring data at a preset rate;
the filtering module is used for filtering the data acquired by the acquisition module to obtain low-noise data;
the storage module is used for caching the low-noise data obtained by filtering of the filtering module in a data cache region to obtain cached data;
the judgment processing module is used for judging whether the amplitude of the cache data stored by the storage module meets a specific condition or not; continuously collecting data at a rate higher than a predetermined rate for a predetermined time under the condition that the amplitude of the buffered data satisfies a specific condition; and continuing to determine whether the amplitude of the buffered data satisfies a particular condition after a predetermined time.
8. The apparatus of claim 7, wherein the filtering module is specifically configured to perform 16-point average filtering and impulse response filtering on the collected data to obtain low-noise data.
9. The apparatus of claim 7, wherein the determining module is specifically configured to determine whether a difference between a maximum amplitude and a minimum amplitude of the buffered data is greater than a predetermined threshold.
10. The apparatus of claim 7, wherein the storage module is further configured to:
storing the low-noise data in a second storage area under the condition that the amplitude of the cache data does not meet a specific condition; and storing data acquired within a predetermined time into the first storage area after continuously acquiring data at a rate higher than the predetermined rate for the predetermined time.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910868080.5A CN110704429B (en) | 2019-09-12 | 2019-09-12 | Data processing method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910868080.5A CN110704429B (en) | 2019-09-12 | 2019-09-12 | Data processing method and device |
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| CN110704429A true CN110704429A (en) | 2020-01-17 |
| CN110704429B CN110704429B (en) | 2023-04-14 |
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| EP2388705A1 (en) * | 2010-05-20 | 2011-11-23 | Telefonaktiebolaget LM Ericsson (publ) | Method and apparatus for accessing cache memory |
| CN102087140A (en) * | 2010-11-24 | 2011-06-08 | 华北电力大学 | Method for analyzing stability of low-frequency vibration main peak frequency of turbo generator set |
| US20150116139A1 (en) * | 2012-05-16 | 2015-04-30 | Robert Bosch Gmbh | Method for interference suppression of a sampling process and a device for carrying out the method |
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| WO2018001263A1 (en) * | 2016-06-30 | 2018-01-04 | 中兴通讯股份有限公司 | Power supply noise measuring method and device |
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| CN110704429B (en) | 2023-04-14 |
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